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Scientific Reports logoLink to Scientific Reports
. 2020 Aug 7;10:13350. doi: 10.1038/s41598-020-70378-3

Rock inhibition promotes NaV1.5 sodium channel-dependent SW620 colon cancer cell invasiveness

Lucile Poisson 1,2,#, Osbaldo Lopez-Charcas 1,#, Stéphanie Chadet 1, Emeline Bon 1, Roxane Lemoine 1, Lucie Brisson 2, Mehdi Ouaissi 1,3, Christophe Baron 1,3, Pierre Besson 1,#, Sébastien Roger 1,4,✉,#, Driffa Moussata 1,3,#
PMCID: PMC7414216  PMID: 32770034

Abstract

The acquisition of invasive capacities by carcinoma cells, i.e. their ability to migrate through and to remodel extracellular matrices, is a determinant process leading to their dissemination and to the development of metastases. these cancer cell properties have often been associated with an increased Rho-ROCK signalling, and ROCK inhibitors have been proposed for anticancer therapies. In this study we used the selective ROCK inhibitor, Y-27632, to address the participation of the Rho-ROCK signalling pathway in the invasive properties of SW620 human colon cancer cells. Contrarily to initial assumptions, Y-27632 induced the acquisition of a pro-migratory cell phenotype and increased cancer cell invasiveness in both 3- and 2-dimensions assays. This effect was also obtained using the other ROCK inhibitor Fasudil as well as with knocking down the expression of ROCK-1 or ROCK-2, but was prevented by the inhibition of NaV1.5 voltage-gated sodium channel activity. Indeed, ROCK inhibition enhanced the activity of the pro-invasive NaV1.5 channel through a pathway that was independent of gene expression regulation. In conclusions, our evidence identifies voltage-gated sodium channels as new targets of the ROCK signalling pathway, as well as responsible for possible deleterious effects of the use of ROCK inhibitors in the treatment of cancers.

Subject terms: Cancer, Membrane biophysics

Introduction

Colorectal cancer is the third most commonly diagnosed cancer in human, and the incidence of this cancer is constantly progressing in the population, thus representing a serious global health problem1. One main cause of patient mortality from colorectal cancer is the development of metastases in distant organs such as in liver, in lungs or in the peritoneum, following the dissemination of cancer cells from the primary tumour2. This represents a late and a potential incurable stage of the disease. Although the metastatic progression is a non-linear phenomenon that encompasses dormancy and selection phases, and is a consequence of complex cellular interplays between cancer cells and non-cancer cells of the tumour and of the different organs concerned, it is primarily permitted by the acquisition by cancer cells of pro-invasive capacities. These capacities rely on cancer cell abilities to dissociate from each other (subsequently to the loss of cell–cell contacts), to migrate through and/or digest components of the extracellular matrix (ECM), to penetrate surrounding tissues, to reach and to survive into the lymphatic or blood circulation, before seeding in a secondary organ3. Therefore, in metastatic progression, the increased motility of cancer cells and their interaction with the extracellular matrix are critical events that are directly dependent on the controlled remodelling of the cytoskeleton4. Rho GTPases are a family of small GTPases belonging to the Ras superfamily that, when bound to GTP, recruit a range of different effectors playing important roles in the dynamic regulation of focal adhesion, acto-myosin contraction and cell motility5,6. Among them, RhoA has been identified to play a central role in regulating the actin organization, in acto-myosin contraction, in cancer cell adhesion and migration. This is mainly achieved through the activation of the RhoA main effectors Rho-associated coiled-coil kinases (ROCK) which are serine/threonine protein kinases consisting of two isoforms ROCK-1 and ROCK-27,8. Indeed, ROCK phosphorylate different substrate proteins such as LIM Kinases9, ezrin/radixin/moesin10, myosin phosphatase11 or myosin light chain (MLC)12, which promote the formation of actin stress fibres, associate the cytoskeleton to the plasma membrane and generate contractile forces13.

The expression of ROCK has been shown to be increased in several cancers, to correlate with a bad prognosis, and their activity has been demonstrated to substantially contribute to cancer progression1416. Furthermore, several somatic mutations in genes encoding ROCK-1 or ROCK-2, leading to a gain-of-function, have been identified in several cancers and especially in colorectal cancer17,18. As such, ROCK are generally perceived as key players in cancer development and progression8,19, which led to consider the use of ROCK inhibitors in the treatment of cancers7,20,21. Indeed, the use of ROCK inhibitors such as Y-27632 or Fasudil (HA-1077) decreased the migration and invasion capacities of several cancer cell types22,23, among which colon cancer cells19,24. However, several other studies reported a pro-cancerous effect of ROCK inhibition by promoting the growth and migration of some cancer cells25,26, such as a gain in colon cancer cell proliferation and invasion2729. Signalling pathways involved in such deleterious effects are still elusive, and certainly need to be better understood.

In colorectal cancer, voltage-gated sodium channels (NaV), and notably the NaV1.5 isoform, have been demonstrated to be abnormally upregulated and to participate to carcinoma cell invasiveness3032. The functional link between NaV and ROCK signalling in colorectal cancer has not been investigated so far.

In this study, we explored the effect of ROCK inhibition, on the growth and invasiveness of SW620 human colon cancer cells, in both 2- and 3-dimensions models. We show that both the pharmacological and molecular inhibition of ROCK-1 and ROCK-2 induce SW620 cancer cell invasiveness, by promoting the activity of the pro-invasive voltage-gated sodium channel NaV1.5 activity.

Results

ROCK inhibitor Y-27632 promotes the acquisition of a migratory phenotype and invasive capacities in SW620 human colon cancer cells

To characterize the participation of the ROCK-dependent signalling pathway in the invasive capacity of human colon cancer cells, SW620 cells were treated with the potent ROCK-1 and ROCK-2 inhibitor Y-27632 at a concentration of 10 µM. This concentration is conventionally used in both in vitro and in vivo experiments to inhibit ROCK activity33,34. We first assessed the effect of such a treatment over time on colon cancer cell morphology, and identified that it was responsible for the acquisition of a more elongated shape, characterized by a significant reduction of the cell circularity index (Fig. 1A). While there might be some differences according to the cell type and mode of migration35, an elongated morphology of cancer cells is generally associated with a mesenchymal invasive phenotype36. Voltage-gated sodium channels (NaV) have been demonstrated to be critical inductors of carcinoma cell invasiveness37,38. In colon3032 as in breast cancer36,3943, the NaV1.5 isoform has been identified to be abnormally upregulated and associated with invasive and metastatic potencies, and to control cell morphology. Its inhibition leads to an increased circularity in breast cancer cells36,40, while its expression and activity promotes the acquisition of an elongated mesenchymal phenotype43. Therefore we also tested the effect of the NaV inhibitor tetrodotoxin (TTX) used at a concentration of 30 µM that blocks > 90% NaV1.5 currents (Suppl. Figure 1), but identified no significant effect in the morphology of these cells harbouring a roundish morphology (Fig. 1A). Then, we compared the capacity of cancer cells to invade extracellular matrices in control conditions or in presence of Y-27632. For this purpose, SW620 spheroids were grown in a Matrigel-composed 3-dimensional matrix (Fig. 1B). Morphology and growth of spheroids were analysed over a total time duration of 96 h by time-lapse microscopy, along with the capacity of cells to disseminate from spheroids and to invade the matrix. We also tested the effect of TTX alone, and of the combination of both Y-27632 and TTX. Y-27632 induced no significant change in spheroid morphology, assessed by calculating a circularity index (Fig. 1C), or growth (Fig. 1D) as compared to the control condition. However, cancer cells treated with Y-27632 demonstrated a significant 3-time increase in the capacity to disseminate from the spheroid and to invade the extracellular matrix (ECM) (Fig. 1E). Importantly, the use of the NaV inhibitor tetrodotoxin (TTX) used at a concentration of 30 µM prevented the induction of ECM invasion mediated by Y-27632 (Fig. 1E), while having no or mild effect on spheroid circularity and growth (Fig. 1C, D). At the concentrations used, neither Y-27632 nor TTX interfered with SW620 cell viability (Suppl. Figure 2A). These results showed that the ROCK inhibitor Y-27632 unexpectedly induces 3D invasion of SW620, at least partially in dependence on NaV activity.

Figure 1.

Figure 1

The ROCK inhibitor Y-27632 enhances 3D colon cancer cell invasiveness. (A) Left, representative micrographs of SW620 human colon cancer cells in control condition (vehicle 0.1% DMSO, CTL) or treated for 24 h, 48 h or 72 h in presence of 30 µM TTX or 10 µM Y-27632. Scale bar, 30 µm. Right, a cell circularity index was calculated from micrographs taken in absence or presence of Y-27632 at the three different times (n = 100 cells for each condition). This was performed using the Fiji software after having manually delineated the shape of cells. ***Statistical difference at P < 0.001 (Mann–Whitney rank sum test) versus CTL condition of corresponding time. NS stands for not statistically different. (B) Representative phase contrast micrographs (× 10 amplification objective) taken from SW620 colon cancer cells grown as spheroids in a 3-dimension matrix composed of Matrigel™. Pictures of spheroids were taken at different incubation times (0 h, 24 h, 48 h, 72 h, 96 h ) in control condition (CTL, vehicle) or treated with Y-27632 (10 µM), NaV channel inhibitor tetrodotoxin (TTX, 30 µM), or both (Y-27632 + TTX). Scale bar, 100 µm. (C) A spheroid circularity index was calculated over time from time-lapse micrographs in the four experimental conditions indicated above, CTL (vehicle, black line), Y-27632 (10 µM, red line), TTX (30 µM, green line) and the combination Y-27632 + TTX (30 µM, blue line) (n = 12, 8 and 5 spheroids per condition, respectively). Only the TTX group showed as significant reduction of circularity compared to the CTL condition, starting at time 36 h (**P < 0.01, Mann–Whitney rank sum test). There was no other statistical difference between groups. (D) Spherical volumes were calculated over time from time-lapse micrographs in the three experimental conditions indicated in B, CTL (vehicle), Y-27632 (10 µM), TTX (30 µM) and Y-27632 + TTX (30 µM) (n = 12, 8 and 5 spheroids per condition, respectively). The co-treatment with Y-27632 and TTX significantly reduced the volume of spheroids as compared to the treatment with Y-27632 alone, or with TTX alone, at times indicated on the figure (*P < 0.05, Mann–Whitney rank sum test). There was no other statistical difference. (E) The surface of extracellular matrix (ECM) invasion by SW620 cancer cells, at distance from spheroids, was calculated over time in the four experimental conditions indicated in C. The treatment with Y-27632 significantly increased the invasion area as compared to the CTL condition (#P < 0.001, Mann–Whitney rank sum test). The co-treatment with Y-27632 and TTX significantly reduced the surface of invasion as compared with the treatment with Y-27632 alone (**P < 0.01; ***PP< 0.001, Mann–Whitney rank sum test), but did not differ from the CTL condition.

We then performed 2D-invasion assays using transwell inserts containing an 8-µm-pore-sized filter that we covered by either Matrigel (300 µg/mL) or collagen I (500 µg/mL). These contain characteristic components of ECM that are generally invaded by epithelial cancer cells during the metastatic process, Matrigel mimicking the basement membrane while collagen I mimics ECM of conjunctive tissues. In both cases, the inhibition of NaV activity using TTX reduced cancer cell invasiveness by about 40–50% (median factor of 0.51 on Matrigel, and of 0.58 on collagen I) compared to the control condition, while Y-27632 induced a significant increase of cancer cell invasiveness (by a median factor of 6.6 on Matrigel, and of 7.0 on collagen I). Again, the co-administration of TTX partially prevented (by approximately 45%) the effect of Y-27632 (Fig. 2A). To decipher whether this effect could be due to non-specific effect of Y-27632, or rather due to the inhibition of ROCK, we tested the effect of another selective and potent ROCK inhibitor, Fasudil, on the 2D-invasion of Matrigel-coated inserts. Fasudil (20 µM) also induced an increase of SW620 invasiveness by a median factor of 2.1, albeit responsible for a reduction of cell viability (Suppl. Figure 1B). The effect of Fasudil on cell invasiveness was prevented by approximately 40% in presence of TTX (Fig. 2B). Then, we reduced the expression of either ROCK-1 or ROCK-2, using a mix of three specific sequences of silencing RNA for each target (siROCK-1 or siROCK-2) and compared to the transfection of a null-target siRNA (siCTL). These experiments resulted in a decrease of ROCK-1 or ROCK-2 mRNA expression, as assessed by RT-qPCR, by 67.3 ± 2.3% (n = 3) and by 50.1 ± 2.3 (n = 3), respectively. These reduced expressions mediated by siRNA were confirmed at the protein level by western blotting experiments (Fig. 2D) and we recorded a reduced protein expression compared to the siCTL condition of 70.7 ± 14.8% (n = 4) and 54.5 ± 18.4% (n = 4) for ROCK-1 and ROCK-2, respectively. In siCTL cells, TTX reduced the invasive capacity by about 50% (median 0.52), indicating the participation of NaV in basal invasiveness (Fig. 2C). Knocking down the expression of ROCK-1 increased the invasive capacity of SW620 cancer cells by a median factor of 1.42, and this effect was prevented by TTX. Knocking down the expression of ROCK-2 also increased the invasive capacity of SW620 cancer cells, by a median factor of 1.99. Again, this effect was prevented by the use of TTX. By contrast to these results, knocking down the expression of RhoA, by 75.7 ± 0.3% (n = 3) as assessed by qPCR, using a mix of three specific sequences of silencing RNA (siRhoA), had no effect on SW620 cancer cell invasiveness (Fig. 2C). Taken together, these results suggested that the promotion of SW620 cancer cell invasiveness was dependent on NaV activity and indeed due to the inhibition of both ROCK-1 and ROCK-2. Interestingly, both Y-27632 and Fasudil reduced MDA-MB-231 human breast cancer cell circularity (Suppl. Figure 2C), and Y-27632 increased the invasive capacity of these cells, in which NaV1.5 has been demonstrated to promote pro-metastatic capacities40,44, by a median factor of 1.51 (Suppl. Figure 1D).

Figure 2.

Figure 2

ROCK inhibitors enhance 2D colon cancer cell invasiveness dependently on NaV1.5 channels. (A) Summary of SW620 colon cancer cell invasiveness studies performed either on Matrigel-coated (300 µg/mL) or Collagen I-coated (500 µg/mL) invasion inserts in control condition (vehicle, 0.1% DMSO), in presence of TTX (30 µM), Y-27632 (10 µM) or the combination Y-27632 + TTX. Results, from 7–8 independent experiments, are expressed relative to the CTL condition which appears as a dashed line. ***P < 0.001 compared to CTL condition (Mann–Whitney rank sum test); ##P < 0.01 compared to the condition performed in presence of TTX (Mann–Whitney rank sum test). (B) Summary of SW620 colon cancer cell invasiveness studies performed on Matrigel-coated (300 µg/mL) invasion inserts in control condition, in presence of TTX (30 µM), Fasudil (20 µM) or the combination Fasudil + TTX. Results, from 8 independent experiments, are expressed relative to the CTL condition (vehicle, 0.1% DMSO) which appears as a dashed line. ***P < 0.001 compared to CTL condition (Mann–Whitney rank sum test); ##P < 0.01 compared to the condition in presence of TTX (Mann–Whitney rank sum test). (C) Effect of silencing the expression of ROCK-1, or ROCK-2 or RhoA using specific siRNA (siROCK1, siROCK2 or siRhoA, respectively), compared to the transfection of irrelevant siRNA (siCTL), on SW620 colon cancer cell invasiveness. These experiments were performed in absence (CTL) or presence of TTX (30 µM). Results are expressed as ratios of mean results obtained with siCTL cells in CTL condition (vehicle). The dashed line indicates a ratio of 1. Results are from 12 to 15 independent experiments and were analysed using Mann–Whitney rank sum tests. ***P < 0.001 compared to CTL condition in siCTL cells; *P < 0.05 compared to CTL condition in siCTL cells; +++P < 0.001 when comparing TTX to the CTL condition in siROCK1 cells or in siROCK2 cells. NS stands for not statistically different. (D) Representative Western blotting analysis of ROCK-1 (upper panel) or ROCK-2 (lower panel) protein expression in untreated SW620 cells, in cells transfected with irrelevant siRNA (siCTL), or with siROCK1 (upper panel), or with siROCK2 (lower panel) for 48 h. β-actin was used as loading control protein. These blots are representative of four independent experiments. (E) Upper panel, representative fast inward sodium currents recorded in shCTL SW620 cells (left) in response to a membrane depolarizing step from − 100 to − 5 mV for 50 ms. This current was absent in SW620 cancer cells stably expressing a short hairpin RNA targeting SCN5A gene expression (shNaV1.5 cells, right). Lower panel, effect of Y-27632 (10 µM) on cell invasiveness of SW620-shCTL and SW620-shNaV1.5 cancer cells. Results are expressed as ratios of mean results obtained with shCTL cells in CTL condition (vehicle). The dashed line indicates a ratio of 1. Results are from 9 independent experiments and were analysed using Mann–Whitney rank sum tests. ***P < 0.001 compared to CTL condition in shCTL cells; ++P < 0.01 compared to Y-27632 condition in shCTL cells, ###P < 0.001 compared to the CTL condition in shNaV1.5 cells. (F) Representative western blotting analysis of NaV1.5 protein expression in shCTL and shNaV1.5 cell lines, as compared to rat Heart Protein Extract (H.P.E) used as a positive control. HSC70 was used as loading control protein. This blot is representative of three independent experiments.

To address the specific regulation of the NaV1.5 channel, encoded by the SCN5A gene, which has been previously identified as an important enhancer of SW620 cancer cell invasiveness30,31, we developed two cell lines derived from SW620, one stably expressing a small hairpin RNA specific for targeting SCN5A gene expression (shNaV1.5) and the other stably expressing a null-target small hairpin RNA (shCTL). As shown in Fig. 2E (top panel), a fast inward sodium current could be recorded in shCTL but not in shNaV.1.5 cells. These two cell lines were treated with Y-27632 (10 µM) or its vehicle (CTL) and cancer cell invasiveness through Matrigel-coated inserts was assessed. As anticipated, in CTL condition, shNaV1.5 cells demonstrated a 65%-lower invasion capacity compared to shCTL cells. Furthermore, the Y-27632-mediated induction of invasion was 2.5-fold lower in shNaV1.5 cells compared to shCTL cells (Fig. 2E, lower panel). The reduced expression level of NaV1.5 proteins in shNaV1.5 cells was also confirmed by western blotting (Fig. 2F).

ROCK inhibitors increase NaV1.5 protein expression and activity in SW620 human colon cancer cells

To further explore the possible regulation of SCN5A expression by the ROCK signalling pathway, we measured its transcription level, by RT-qPCR, over a time range from 4 to 24 h treatment, with either Y-27632 or Fasudil treatments. Results obtained indicated no significant regulation of SCN5A expression by ROCK inhibitors at the mRNA level, during this time-scale (Fig. 3A). However, an increased level of NaV1.5 proteins was observed after 48 h treatment with Y-27632 (Fig. 3B–E). This appeared to be statistically increased by a median factor of 1.28, as compared to the CTL (vehicle) condition when assessed by western blotting experiments (Fig. 3C), and a significant increase in the mean fluorescence intensity (MFI) value by 1.52 times was recorded found under Y-27632 treatment by flow cytometry in non-permeabilized cells (Fig. 3E). This increased level of NaV1.5 proteins was also observed after 48 h treatment with Fasidul (Suppl. Figure 3A,B).

Figure 3.

Figure 3

ROCK inhibitor Y-27632 increases NaV1.5 protein but not SCN5A gene expression. (A) mRNA expression levels of SCN5A gene assessed by RT-qPCR in SW620 colon cancer cells treated with Y-27632 (10 µM, red plots), or with Fasudil (20 µM, blue plots), at different times of treatment (ranging from 4 to 24 h), expressed as ratios to control conditions (vehicle, 0.1% DMSO) performed at the same time. There was no statistical difference, at any time, compared to the control condition represented as a dashed line. (B) Representative Western blotting analysis of NaV1.5 protein expression in untreated SW620 cells, or cells treated with vehicle (0.1% DMSO, CTL) or with 10 µM Y-27632 for 48 h. β-actin was used as loading control protein. This blot is representative of five independent experiments. (C) Change in NaV1.5 protein levels were studied by densitometric analyses of Western blotting experiments. Results are given as the ratio of NaV1.5 protein relative to β-actin for each condition. *P < 0.05 (Mann–Whitney rank sum test) compared to both untreated and CTL groups. (D) Representative histograms for SW620 cell population incubated with AF488 secondary antibody alone (gray histograms) and positive for NaV1.5 staining in absence (black histogram, CTL) or presence of the ROCK inhibitor (red histogram, Y-27632). (E) Mean fluorescence intensity (MFI) values obtained for the Y-27632 condition were averaged and relativized to the control condition. Plot shows fold-change calculated from three independent experiments *P < 0.05 (t-Student test).

This increased protein level at the cell surface, yet difficult to observe in immunocytochemistry experiments (Suppl. Figure 3C), was responsible for an increased NaV activity at the plasma membrane of SW620 cells. Indeed, a 48 h-long treatment with Y-27632 was responsible for an increased amplitude of NaV-mediated transient inward currents (INa) (Fig. 4A). There was no shift in the INa-voltage relationship with a threshold of activation between − 60 and − 55 mV and a reversal potential between + 55 and + 60 mV, but a significant increase (P < 0.05) of the maximal amplitude (obtained for a depolarizing step from − 100 to − 10 mV), from − 9.68 ± 3.78 (n = 23) to − 19.61 ± 4.00 (n = 33) pA/pF in CTL and Y-27632 conditions, respectively (Fig. 4B). There was no significant change in both activation-voltage and inactivation-voltage relationships (Fig. 4C). There was a significant increase (P < 0.05) in the peak INa current density recorded from a holding potential of -100 to a depolarizing step of − 5 mV, from − 8.73 ± 2.75 (n = 22) to − 20.44 ± 4.29 (n = 33) pA/pF in Y-27632-treated cells (Fig. 4D). There was also a significant increase (P < 0.01) in the persistent INa current density recorded at the end of this same 30 ms-long depolarizing step, from − 0.86 ± 0.08 (n = 22) to − 1.42 ± 0.14 (n = 33) pA/pF (Fig. 4E), for CTL and Y-27632 conditions, respectively. These results therefore suggested that the inhibition of ROCK promotes NaV1.5 activity, by increasing the stability of the channel at the plasma membrane of cancer cells.

Figure 4.

Figure 4

ROCK inhibitor Y-27632 increases NaV1.5 activity in SW620 colon cancer cells. (A) Representative whole-cell current recordings obtained from SW620 cells incubated with either vehicle (0.1% DMSO) as a Control (top recordings, blue traces), or 10 µM Y-27632 (bottom, red traces) for 48 h, in response to depolarizing 30-ms pulses from − 95 to + 60 mV in 5-mV steps applied every 2 s from a holding potential of − 100 mV. Dotted lines indicate baseline levels (zero current). (B) Sodium current density–voltage (INa-V) relationship for NaV1.5 channels in SW620 cells in control (0.1% DMSO, n = 23) or 10 µM Y-27632 (n = 33). Peak sodium currents were averaged and plotted as a function of the membrane voltage. (C) Activation- and steady-state inactivation-voltage relationships of NaV1.5 currents recorded from SW620 cells in absence (control, black-filled circles) and presence (red-filled diamonds) of 10 µM Y-27632. Smooth lines correspond to the Boltzmann’s function fits and the V1/2 values obtained were the following: V1/2-activation voltage of − 23.4 ± 0.5 mV and − 26.1 ± 0.4 mV for control and Y-27632, respectively; and V1/2-inactivation of − 72.2 ± 0.6 mV and − 74.5 ± 0.4 mV for control and Y-27632, respectively. (D, E) Peak- and persistent sodium current densities evoked from a depolarizing step from -100 to − 5 mV in absence (black bars) and presence of 10 µM Y-27632 (red bars) obtained from the same cells than in B. *P < 0.05 and **P < 0.01 (Mann Whitney rank sum test).

Discussion

Voltage-gated sodium channels (NaV) are membrane spanning heteromeric complexes, composed of one large pore-forming α subunit (9 isoforms, NaV1.1–1.9) associated with one or two smaller auxiliary β subunits (4 transmembrane β1-4, and one soluble β1B, isoforms), traditionally considered as features of excitable cells, because of their well-characterized participation in the generation of action potentials. However, it has been recognized that these channels are also expressed, and fully functional, in several carcinoma cells30,4450, where they are not associated with cellular excitability but rather to dedifferentiation of epithelial cells43, invasive properties and metastatic potencies37,38,51. Several NaV isoforms, mostly NaV1.5, NaV1.6 and NaV1.7 depending on the cancer type52, have been shown to be abnormally expressed, but the origin of this dysregulated expression as well as the reasons for the association with a specific cancer tissue have not been identified. Whether these channels are regulated by intracellular signalling pathways in cancer cells is still unclear, and has not been fully characterized.

The NaV1.5 isoform, which is the product of the SCN5A gene, was found to be highly overexpressed at both mRNA and protein levels in colon and breast tumours, compared to normal tissues, and was correlated with cancer recurrence, metastases development and reduced patients survival30,42,53,54. In tumours, NaV1.5 was expressed and functional at the plasma membrane of cancer cells, thus giving rise to sodium currents, but the isoform expressed was a neonatal splice variants32,54, and not the adult splice variant isoform. This splice variant only differs from the adult one by a few amino acid residues. In colon and breast cancers, the activity of NaV1.5 results in a small but persistent entry of Na+ at the basal membrane potential, that was demonstrated to promote extracellular matrix degradation, cancer cell invasiveness in vitro30,31,36,39,44,55, primary tumour growth and metastases development in animal models40,41. This paved the way for the development of new small inhibitors of NaV56 or to the repurposing of clinically used inhibitors for anticancer treatments32,40,41,57,58. On the opposite, drugs promoting NaV activity in cancer cells, such as the alkaloid veratridine, importantly increase invasive behaviours in in vitro experiments31,32,44.

In this study, we show that the inhibition of ROCK, using conventional ROCK inhibitors at classical concentrations used both in vitro and in vivo, increases the invasive capacities of SW620 human colon cancer cells, and also those of MDA-MB-231 human breast cancer cells. While ROCK inhibitors are generally used to inhibit cell migration and invasion7,8,19, we are not the first to demonstrate pro-invasive effects of ROCK inhibition25,29. In B16 melanoma cells, Y-27632 induced invasion via enhanced AKT and ERK signalling pathways25. In SW620 colon cancer cells, Y-27632 was also shown to increase invasiveness through 3D matrices composed of collagen I, but the mechanisms involved were not identified29.

In this study, we show that the two well-known and commonly used pharmacological inhibitors of ROCK, Y-27632 and Fasudil, both promoted 2D and 3D-invasive capacities, through both Matrigel- or collagen-I-composed extracellular matrices. Importantly, an increased invasion was also confirmed when silencing either ROCK-1 or ROCK-2, using specific siRNA, thus ruling out non-specific effects of the pharmacological compounds. Pro-invasive effects of ROCK inhibition were importantly abrogated by the concomitant inhibition of NaV1.5 channel, identifying this channel as a potential target of the ROCK signalling. Indeed, the activity of NaV1.5 channel, i.e. peak and persistent sodium currents, was demonstrated to be increased with no change in voltage-dependencies for the activation or for the inactivation. This suggests an increased quantity of NaV1.5 proteins at the plasma membrane. Interestingly, the inhibition of ROCK did not interfere with SCN5A gene expression, and there was no effect at the mRNA level. However, an increased level of NaV1.5 proteins under ROCK inhibition treatment could be identified, thus favouring the hypothesis of an increased stability and half-life of NaV1.5 proteins, maybe by reducing their recycling.

While the inhibition of ROCK increased NaV1.5 activity and related invasive capacity in SW620 colon cancer cells, it could appear surprising that the inhibition of RhoA expression induced no effect on cell invasion. Indeed, ROCK-1 and ROCK-2 are well-known effectors of activated RhoA, but could also be activated by RhoC59. Our results may also appear to be in contradiction with results obtained in MDA-MB-231 breast cancer cells, in which RhoA silencing reduced cell invasiveness by reducing the mRNA expression of SCN5A and therefore NaV1.5-mediated sodium current, thus indicating that RhoA could exerts a tonic effect on the expression of Nav1.5 in these cancer cells60. Furthermore, in the same study, the authors identified the existence of a positive feedback of Nav1.5 channel expression on that of RhoA60. In our study, performed in a different cell type, we did not measure the effect of RhoA silencing on NaV1.5 currents, but identified no significant effect on cell invasiveness. This could possibly be explained by a different stoichiometry in Rho GTPase or by different levels of basal activation.

Our results also appear in apparent contradiction with those obtained by Vishnubhotla and collaborators who reported that ROCK-2 was highly expressed in SW620 colon cancer cells, mainly distributed in invadopodial-like structures and that its knock-down reduced the depth of invasion into a 3D-scaffold of type I collagen61. However, our results are in line with those recently reported by Libanje and collaborators who demonstrated that colorectal cancer cells mainly harbour a collective mode of invasion and that ROCK-2 inhibition triggers the initial induction of leader cell formation and induces collective invasion from cysts62. Therefore, these apparently contrasting results should probably be studied with regard to the different growing modes and environmental conditions (2D vs 3D, type and stiffness of the extracellular matrix, etc.) and the different modes of invasion that could be induced in these situations.

Taken together, our results clearly demonstrated that the inhibition of ROCK could induce procancerous effects, and most specifically promote cancer cell invasion. These results also identify NaV1.5 channels as potential targets of ROCK. Therefore, the use of ROCK inhibitors for anticancer purposes should be tightly controlled and probably restricted to cancers in which NaV channels have not been identified, in order to avoid adverse effects.

Methods

Chemicals, antibodies and pharmacological compounds

Tetrodotoxin was purchased from LATOXAN (France) and used at the final concentration of 30 µM prepared in PBS, thus blocking the activity of NaV1.5 channels44. Y-27632 was purchased from SELLECKCHEM (France) and used at the final concentration of 10 µM (prepared in 0.1% DMSO), a conventional concentration used both in vitro and in vivo experiments33,34. Fasudil (HA-1077) was purchased from SIGMA-ALDRICH (France) and used at the final concentration of 20 µM prepared in a saline solution (PBS) as previously reported63. Fluorescent probes and conjugated antibodies were purchased from THERMOFISHER SCIENTIFIC (France). All other drugs and chemicals were purchased from SIGMA-ALDRICH (France).

Cell lines and culture

SW620 human colon and MDA-MB-231 human breast cancer cell lines were purchased from the American Type Culture Collection (LGC PROMOCHEM, France). Cancer cells were grown at 37 °C in a 5% CO2 incubator, in a humidified atmosphere. MDA-MB-231 breast cancer cells were cultured in DMEM supplemented with 5% foetal calf serum (FCS). SW620 colon cancer cells were cultured in DMEM supplemented with 10% FCS. SW620 shCTL and shNaV1.5 stable colon cancer cells, respectively expressing a null-target and a SCN5A expression product-targeting small hairpin RNA were generated as previously described40,64 using the Giga Viral vectors Plateform (University of Liège, Belgium). Briefly, these two cell lines were obtained by transduction with a lentiviral vector encoding a short hairpin RNA (shRNA) specifically targeting human SCN5A transcripts (shNaV1.5 cell line) or a null-target shRNA (shCTL cell line). The sequence encoding shSCN5A, inhibiting the expression of NaV1.5 protein, was 5′-GCTGGACTTTAGTGTGATTATCTCGAGATAATCACACTAAAGTCCAGC-3′. We constructed a lentiviral vector expressing a null-target shRNA (pLenti-shCTL), with the following sequence: 5′-CCTAAGGTTAAGTCGCCCTCGCTCGAGCGAGGGCGACTTAACCTTAGG-3′.

Tests assessing for mycoplasma contamination were performed once a week (LONZA, MycoAlert Mycoplasma Detection Kit).

RNA extraction, Reverse transcription, and real-time PCR

Total RNA extraction was performed (RNAgents Total RNA Isolation System, PROMEGA, France) and RNA yield and purity were determined by spectrophotometry (NanoDrop 2000, THERMO SCIENTIFIC, France). Only samples with a A260/A280 ratio above 1.6 were kept for reverse-transcription. To do so, RT kits Ready-to-go You-prime First-Strand Beads (AMERSHAM BIOSCIENCES, UK) and random hexamers pd(N)6 5′-Phosphate (0.2 µg, AMERSHAM BIOSCIENCES) were used. Samples were incubated at 37 °C for 60 min. Real time PCR experiments were performed as previously described44. Results obtained from cell lines are expressed as the relative gene expression using the comparative 2-ΔΔCt method65 with PPIA and HPRT1 as reference genes. Primers sequences can be found in Table 1.

Table 1.

PCR primers sequences and expected amplicon size.

Gene Protein Forward primers (5′ → 3′) Reverse primers (5′ → 3′) Expected size (bp)
HPRT1 Hprt1 TTGCTGACCTGCTGGATTAC TATGTCCCCTGTTGACTGGT 119
PPIA Peptidylprolyl isomerase A (PPIA) Cyclophilin A ACCGCCGAGGAAAACCGTGTA TGCTGTCTTTGGGACCTTGTCTGC 129
SCN5A NaV1.5 TTCCTGGGGTCCTTCTACCT TTTCCTTCTCCTCGGTCTCA 103
ROCK1 ROCK1 AGCGGTTGGAACACCTGATT AACCGACCACCAGTCACATT 94
RHOA RhoA CGCTTTTGGGTACATGGAGT GAGCAGCTCTCGTAGCCATT 80

Transfection of small interfering RNA

SW620 human breast colon cells were transfected with 20 nM small interfering RNA (siRNA, TEBU-BIO, France) targeting the expression of ROCK1 (siROCK1, sc-29473, mix of three different sequences), ROCK2 (siROCK2, sc-2947420, mix of three different sequences) or targeting the expression of RHOA (siRHOA, sc-29471, mix of three different sequences), or scrambled siRNA (siCTL, siRNA-A sc-37007). SiRNA Transfections were performed with Lipofectamine RNAi max (INVITROGEN, France) when cells reached 80–90% confluence. Transfection efficiency was verified by qPCR using an iCycler system (BIORAD, USA).

Cellular electrophysiology

Whole-cell currents were recorded, as already described55, under the voltage-clamp mode of the patch-clamp technique, at room temperature, using an Axopatch 200B patch clamp amplifier (AXON INSTRUMENT, USA). Patch pipettes were pulled from borosilicate glass (TW150-3, WORLD PRECISION INSTRUMENTS, France) to a resistance of 3–5 MΩ. Analogue signals were filtered at 5 kHz, and sampled at 10 kHz using a 1440A Digidata converter. Cell capacitance and series resistance were electronically compensated by about 60%. The P/2 sub-pulse correction of cell leakage and capacitance was used to study Na+ current (INa). Peak and persistent sodium currents were recorded by depolarizing the cells from a holding potential (HP) of − 100 mV to a test pulse of − 5 mV for 30 ms every 500 ms, and the amplitude of the persistent current was measured at the end on this 30 ms-long protocol. Sodium current–voltage (INa-V) relationships were determined by stepwise depolarizing the membrane from a HP of − 100 mV to a maximal voltage of + 60 mV, with 5-mV increments, for 50 ms and at a frequency of 2 Hz. Inactivation-voltage relationships were obtained by applying 50 ms-long prepulses using the INa–V curve procedure, followed by a depolarizing pulse to − 5 mV for 50 ms. Currents were normalized to the amplitude of the test current without a prepulse. Currents amplitudes were normalized to cell capacitance and expressed as current density (pA/pF). The bath solution had the following composition (in mM): NaCl 140, KCl 4, MgCl2 1, CaCl2 2, D-Glucose 11.1, and HEPES 10, adjusted to pH 7.4 with NaOH (1 M). The intrapipette solution had the following composition (in mM): KCl 130, NaCl 15, CaCl2 0.37, MgCl2 1, Mg-ATP 1, EGTA 1, HEPES 10, adjusted to pH 7.2 with KOH (1 M).

Cell viability

SW620 cancer cells were seeded in a 24-well plate at the density of 15.103 cells per well. Media were changed every day, and after 5 days growing, the number of viable cells was assessed by the tetrazolium salt assay as previously described44 and normalised to the appropriate control condition (vehicle, 0.1% DMSO). Acquisitions were taken at 570 nm using a spectrophotometer TECAN Nanoquant Infinite 200 Pro (France).

Three-dimensions (3D) invasion model

3D-spheroids were generated from the SW620 human colon cancer cell line using 96-well round-bottom Ultra Low Attachment (ULA) plates (CORNING, New York, USA) inhibiting cell attachment. Briefly, 500 cells/ well were seeded in 200 µl DMEM + 10% FCS in ULA plates. Forty-eight hours later, when spheroid were formed and visible, Matrigel at a final concentration of 300 µg/mL was added to the culture medium. Four hours after the addition of Matrigel, treatments were performed, adding 50 μL of fresh culture medium with the indicated compounds (10 µM Y-27632 and/or 30 µM TTX) into each well. Plates were then centrifuged at 300×g for 3 min, and placed on the motorized stage of the NIKON TI-E microscope (NIKON, France) equipped with a time lapse system, in a controlled atmosphere chamber at 37 °C, 5% CO2 and saturated with humidity. Images were taken every 30 min, for a total period of 96 h of acquisition at a 100× magnification, using the NIKON DS-Qi2 camera connected to the microscope. Spheroid growth and morphology were analysed using Fiji software (https://imagej.net/Fiji, National Institute of Health, USA). Several parameters were evaluated after having manually delineated the shape of spheroids: circularity index, spherical volume and matrix invasion area. Spherical volume (V) was estimated by measuring spheroid perimeter (P) and calculated with the formula V = P3/6π2. Matrix invasion area was evaluated by subtracting the invasion area at time t from the initial spheroid area at t = 0.

Two-dimensions cancer cell invasiveness

Cancer cell invasiveness was assessed using culture inserts with 8-µm pore size migration filters (BECTON DICKINSON, France), that we covered with a film of Matrigel (500 µg/mL) or collagen I (300 µg/mL). The upper chamber of the insert was then seeded with 1 × 105 cells in 200 µL DMEM supplemented with 0.1% FCS, and the lower compartment was filled with 800 µL DMEM supplemented with 10% FCS, thus creating a chemoattractant gradient. Cells invasion was allowed for 48 h at the 37 °C and 5%-CO2 incubator. Cells that had invaded and had reached the underneath surface of the filter were stained with DAPI, then counted on the whole area of the insert membrane using the Binary/Bright spot tool of NIS-Elements V4.30.02 software (NIKON, France). Assays were performed in triplicate in each separate experiment.

Western blotting experiments

Cells were washed twice with PBS and lysed in presence of a lysis buffer (50 mM Tris, pH 7, 100 mM NaCl, 5 mM MgCl2, 10% glycerol, 1 mM EDTA), containing 1% Triton-X-100 and protease inhibitors (SIGMA-ALDRICH, France). Cell lysates were cleared by centrifugation at 16,000×g for 10 min. Total protein concentrations were determined using the Pierce® BCA Protein Assay Kit (THERMO FISHER SCIENTIFIC, France). Protein sample buffer was added and the samples were boiled at 100 °C for 3 min. Total protein samples were electrophoretically separated by sodium dodecyl sulphate–polyacrylamide gel electrophoresis in 10% gels, and then transferred to polyvinylidene fluoride membranes (MILLIPORE, USA). NaV1.5 proteins were detected using anti-human NaV1.5 rabbit polyclonal primary antibodies (1/1000, Ref S0818, SIGMA-ALDRICH) and horseradish peroxidase (HRP)-conjugated goat anti-rabbit IgG secondary antibody at 1:2000 (TEBU-BIO, France). ROCK-1 and ROCK-2 proteins were detected using HRP-conjugated primary antibodies (SANTA CRUZ references G-6 sc-17794 and D-11 sc-398519, respectively) used at the working dilution of 1/1000. HSC70 protein was detected as a sample loading control using anti-HSC70 mouse primary antibody at 1:30,000 (TEBU-BIO) and HRP-conjugated anti-mouse-IgG secondary antibodies at 1:2000 (TEBU-BIO). In some other conditions β-actin was used as a sample loading control using anti-β-actin-HRP primary antibody at 1:1000 (C4, SANTA CRUZ ref sc-47778).

Proteins were revealed using electrochemiluminescence-plus kit (PIERCE ECL Western Blotting Substrate, THERMO FISHER SCIENTIFIC, France) and captured on a PXi acquisitions system (SYNGENE, UK). Densitometry analysis of protein bands was performed using the Gel Tool from Fiji software (Scientific image analysis software available at https://fiji.sc). All original blots are provided in Supplementary Figs. 47.

Epifluorescence imaging

SW620 colon cancer cells were cultured for 24–48 h on glass coverslips, before receiving ROCK inhibitor (or vehicle treatment) for a duration of 48 h. Cells were then washed twice in PBS, before being fixed with 3.7% ice-cold paraformaldehyde prepared in PBS. Cell permeabilization was obtained using a solution containing 50 mM NH4Cl, 1% BSA and 0.02% saponin. Saturation of epitopes was achieved by incubating for 2 h with a solution containing 3% BSA and 3% Normal Goat Serum (NGS). Epifluorescence microscopy was performed with a NIKON TI-S microscope, and images were analysed using the NIS-BR software (NIKON, France). Fluorescent probes and conjugated antibodies were purchased from THERMO FISHER SCIENTIFIC (France).

Flow cytometry

SW620 cancer cells were seeded in T-25 flasks at the density of 1 × 106 cells per flask. Twenty-four hours after cell seeding, treatments were performed, adding 0.1% DMSO (vehicle, control) or 10 µM Y-27632 into each flask. Cells were incubated for 48 h and detached using accutase solution. Cells were re-suspended in PBS supplemented with EDTA and 0.1% FBS. For each condition, 4 × 105 cells were incubated with 1.6-μg anti-NaV1.5 antibody (ASC-005, ALOMONE LABS, Israel) for 30 min at 4 °C followed by incubation with secondary antibody Alexa-Fluor-488 (1:500, A-11008, THERMO FISHER SCIENTIFIC, France) for 45 min at 4 °C. Background controls were obtained after incubation with secondary antibody alone. All data were performed using a BD FACSMelody cell sorter (BECTON DICKINSON, San Jose, USA) and analyzed using FlowJo software (TREE STAR, USA).

Statistical analyses

Statistical analyses were performed using SigmaStat 3.0 software (SYSTAT SOFTWARE INC.). Normality of sample distribution was tested prior to conduct any comparison between groups. When normality failed, and/or equal variance test failed, non-parametric statistical tests were performed (Mann–Whitney rank sum test) and data were displayed as box plots indicating the first quartile, the median, and the fourth quartile, whiskers indicating the minimal and maximal values, and square dots indicating the means. When normality and equal variance were obtained, parametric tests (Student’s t test) were performed. In these cases, results were presented as mean ± SEM. P values are indicated on figures. NS stands for "not statistically different".

Supplementary information

Acknowledgements

We thank Mrs Carole Desplanches for secretary and administrative assistance, and Mrs Audrey Heraud-Meley for technical and cell culture assistance. This work was supported by the University of Tours, the "Ligue Nationale Contre le Cancer – Interrégion Grand-Ouest" to DM and SR, the Région Centre-Val de Loire (Grant “NaVMetarget”) to SR, and the “Association CANCEN”. S.R. was recipient of a prize “Prix Ruban Rose Avenir 2017” from the Charity “le Cancer du sein: parlons-en!”. LP was recipient of an “Inserm-Region Centre-Val de Loire” PhD fellowship. OLC was recipient of a funding from the “Fondation pour la Recherche Médicale (FRM)” (SPF201909009198).

Author contributions

S.R., P.B. and D.M. conceived and supervised the study, obtained funding and wrote the manuscript. S.R., P.B., D.M., L.P. and O.L.C. designed experiments. L.B. participated to spheroid experiments. L.P., O.L.C., S.C., R.L. and E.B. performed the experiments. S.R., P.B., D.M., L.P. and O.L.C. analysed data. M.O. and C.B. contributed in discussion and correction of the manuscript.

Data availability

Requests for data our materials should be addressed to S.R. (sebastien.roger@univ-tours.fr).

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Lucile Poisson, Osbaldo Lopez-Charcas, Pierre Besson, Sébastien Roger and Driffa Moussata.

Supplementary information

is available for this paper at 10.1038/s41598-020-70378-3.

References

  • 1.Arnold M, et al. Global patterns and trends in colorectal cancer incidence and mortality. Gut. 2017;66:683–691. doi: 10.1136/gutjnl-2015-310912. [DOI] [PubMed] [Google Scholar]
  • 2.Brenner H, Kloor M, Pox CP. Colorectal cancer. Lancet. 2014;383:1490–1502. doi: 10.1016/S0140-6736(13)61649-9. [DOI] [PubMed] [Google Scholar]
  • 3.Gupta GP, Massague J. Cancer metastasis: building a framework. Cell. 2006;127:679–695. doi: 10.1016/j.cell.2006.11.001. [DOI] [PubMed] [Google Scholar]
  • 4.Fidler IJ. Critical factors in the biology of human cancer metastasis: twenty-eighth G.H.A. Clowes memorial award lecture. Cancer Res. 1990;50:6130–6138. [PubMed] [Google Scholar]
  • 5.Ridley AJ, et al. Cell migration: integrating signals from front to back. Science. 2003;302:1704–1709. doi: 10.1126/science.1092053. [DOI] [PubMed] [Google Scholar]
  • 6.Ridley AJ. Rho GTPases and cell migration. J. Cell Sci. 2001;114:2713–2722. doi: 10.1242/jcs.114.15.2713. [DOI] [PubMed] [Google Scholar]
  • 7.Wei L, Surma M, Shi S, Lambert-Cheatham N, Shi J. Novel Insights into the Roles of Rho Kinase in Cancer. Archivum Immunologiae et thErapiae Experimentalis. 2016;64:259–278. doi: 10.1007/s00005-015-0382-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Sahai E, Marshall CJ. Differing modes of tumour cell invasion have distinct requirements for Rho/ROCK signalling and extracellular proteolysis. Nat Cell Biol. 2003;5:711–719. doi: 10.1038/ncb1019. [DOI] [PubMed] [Google Scholar]
  • 9.Amano T, Tanabe K, Eto T, Narumiya S, Mizuno K. LIM-kinase 2 induces formation of stress fibres, focal adhesions and membrane blebs, dependent on its activation by Rho-associated kinase-catalysed phosphorylation at threonine-505. Biochem. J. 2001;354:149–159. doi: 10.1042/0264-6021:3540149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bretscher A, Edwards K, Fehon RG. ERM proteins and merlin: integrators at the cell cortex. Nat. Rev. Mol. Cell. Biol. 2002;3:586–599. doi: 10.1038/nrm882. [DOI] [PubMed] [Google Scholar]
  • 11.Kimura K, et al. Regulation of myosin phosphatase by Rho and Rho-associated kinase (Rho-kinase) Science. 1996;273:245–248. doi: 10.1126/science.273.5272.245. [DOI] [PubMed] [Google Scholar]
  • 12.Kureishi Y, et al. Rho-associated kinase directly induces smooth muscle contraction through myosin light chain phosphorylation. J. Biol. Chem. 1997;272:12257–12260. doi: 10.1074/jbc.272.19.12257. [DOI] [PubMed] [Google Scholar]
  • 13.Amano M, et al. Formation of actin stress fibers and focal adhesions enhanced by Rho-kinase. Science. 1997;275:1308–1311. doi: 10.1126/science.275.5304.1308. [DOI] [PubMed] [Google Scholar]
  • 14.Lane J, Martin TA, Watkins G, Mansel RE, Jiang WG. The expression and prognostic value of ROCK I and ROCK II and their role in human breast cancer. Int. J. Oncol. 2008;33:585–593. [PubMed] [Google Scholar]
  • 15.Li J, Bharadwaj SS, Guzman G, Vishnubhotla R, Glover SC. ROCK I Has More Accurate Prognostic Value than MET in Predicting Patient Survival in Colorectal Cancer. Anticancer Res. 2015;35:3267–3273. [PMC free article] [PubMed] [Google Scholar]
  • 16.Wong CC, Wong CM, Tung EK, Man K, Ng IO. Rho-kinase 2 is frequently overexpressed in hepatocellular carcinoma and involved in tumor invasion. Hepatology. 2009;49:1583–1594. doi: 10.1002/hep.22836. [DOI] [PubMed] [Google Scholar]
  • 17.Alhopuro P, et al. Candidate driver genes in microsatellite-unstable colorectal cancer. Int. J. Cancer. 2012;130:1558–1566. doi: 10.1002/ijc.26167. [DOI] [PubMed] [Google Scholar]
  • 18.Sari I, et al. Role of rho-kinase gene polymorphisms and protein expressions in colorectal cancer development. Pathobiol. J. Immunopathol. Mol. Cell. Biol. 2013;80:138–145. doi: 10.1159/000341395. [DOI] [PubMed] [Google Scholar]
  • 19.Croft DR, et al. Conditional ROCK activation in vivo induces tumor cell dissemination and angiogenesis. Cancer Res. 2004;64:8994–9001. doi: 10.1158/0008-5472.CAN-04-2052. [DOI] [PubMed] [Google Scholar]
  • 20.Rath N, Olson MF. Rho-associated kinases in tumorigenesis: re-considering ROCK inhibition for cancer therapy. EMBO Rep. 2012;13:900–908. doi: 10.1038/embor.2012.127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Shahbazi R, et al. Targeting ROCK signaling in health, malignant and non-malignant diseases. Immunol. Lett. 2020;219:15–26. doi: 10.1016/j.imlet.2019.12.012. [DOI] [PubMed] [Google Scholar]
  • 22.Guerra FS, Oliveira RG, Fraga CAM, Mermelstein CDS, Fernandes PD. ROCK inhibition with Fasudil induces beta-catenin nuclear translocation and inhibits cell migration of MDA-MB 231 human breast cancer cells. Sci. Rep. 2017;7:13723. doi: 10.1038/s41598-017-14216-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Rath N, et al. ROCK signaling promotes collagen remodeling to facilitate invasive pancreatic ductal adenocarcinoma tumor cell growth. EMBO Mol. Med. 2017;9:198–218. doi: 10.15252/emmm.201606743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.de Toledo M, Anguille C, Roger L, Roux P, Gadea G. Cooperative anti-invasive effect of Cdc42/Rac1 activation and ROCK inhibition in SW620 colorectal cancer cells with elevated blebbing activity. PLoS ONE. 2012;7:e48344. doi: 10.1371/journal.pone.0048344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Chang F, et al. ROCK inhibitor enhances the growth and migration of BRAF-mutant skin melanoma cells. Cancer Sci. 2018;109:3428–3437. doi: 10.1111/cas.13786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Nakashima M, et al. Inhibition of Rho-associated coiled-coil containing protein kinase enhances the activation of epidermal growth factor receptor in pancreatic cancer cells. Mol. Cancer. 2011;10:79. doi: 10.1186/1476-4598-10-79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Adachi S, et al. Rho-kinase inhibitor upregulates migration by altering focal adhesion formation via the Akt pathway in colon cancer cells. Eur. J. Pharmacol. 2011;650:145–150. doi: 10.1016/j.ejphar.2010.10.014. [DOI] [PubMed] [Google Scholar]
  • 28.Nakashima M, et al. Rho-kinase regulates negatively the epidermal growth factor-stimulated colon cancer cell proliferation. Int. J. Oncol. 2010;36:585–592. doi: 10.3892/ijo_00000533. [DOI] [PubMed] [Google Scholar]
  • 29.Vishnubhotla R, Bharadwaj S, Sun S, Metlushko V, Glover SC. Treatment with Y-27632, a ROCK Inhibitor, Increases the Proinvasive Nature of SW620 Cells on 3D Collagen Type 1 Matrix. Int. J. Cell Biol. 2012;2012:259142. doi: 10.1155/2012/259142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.House CD, et al. Voltage-gated Na+ channel SCN5A is a key regulator of a gene transcriptional network that controls colon cancer invasion. Cancer Res. 2010;70:6957–6967. doi: 10.1158/0008-5472.CAN-10-1169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.House CD, et al. Voltage-gated Na+ channel activity increases colon cancer transcriptional activity and invasion via persistent MAPK signaling. Sci. Rep. 2015;5:11541. doi: 10.1038/srep11541. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Baptista-Hon DT, et al. Potent inhibition by ropivacaine of metastatic colon cancer SW620 cell invasion and NaV1.5 channel function. Br. J. Anaesth. 2014;113(Suppl 1):i39–i48. doi: 10.1093/bja/aeu104. [DOI] [PubMed] [Google Scholar]
  • 33.Cascione M, et al. Morphomechanical and structural changes induced by ROCK inhibitor in breast cancer cells. Exp. Cell. Res. 2017;360:303–309. doi: 10.1016/j.yexcr.2017.09.020. [DOI] [PubMed] [Google Scholar]
  • 34.Rath N, et al. Rho Kinase Inhibition by AT13148 Blocks Pancreatic Ductal Adenocarcinoma Invasion and Tumor Growth. Cancer Res. 2018;78:3321–3336. doi: 10.1158/0008-5472.CAN-17-1339. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Wolf K, Friedl P. Extracellular matrix determinants of proteolytic and non-proteolytic cell migration. Trends Cell Biol. 2011;21:736–744. doi: 10.1016/j.tcb.2011.09.006. [DOI] [PubMed] [Google Scholar]
  • 36.Brisson L, et al. NaV1.5 Na+ channels allosterically regulate the NHE-1 exchanger and promote the activity of breast cancer cell invadopodia. J. Cell Sci. 2013;126:4835–4842. doi: 10.1242/jcs.123901. [DOI] [PubMed] [Google Scholar]
  • 37.Roger S, Gillet L, Le Guennec JY, Besson P. Voltage-gated sodium channels and cancer: is excitability their primary role? Front Pharmacol. 2015;6:152. doi: 10.3389/fphar.2015.00152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Djamgoz MBA, Fraser SP, Brackenbury WJ. In vivo evidence for voltage-gated sodium channel expression in carcinomas and potentiation of metastasis. Cancers. 2019 doi: 10.3390/cancers11111675. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Brisson L, et al. Na(V)1.5 enhances breast cancer cell invasiveness by increasing NHE1-dependent H(+) efflux in caveolae. Oncogene. 2011;30:2070–2076. doi: 10.1038/onc.2010.574. [DOI] [PubMed] [Google Scholar]
  • 40.Driffort V, et al. Ranolazine inhibits NaV1.5-mediated breast cancer cell invasiveness and lung colonization. Mol. Cancer. 2014;13:264. doi: 10.1186/1476-4598-13-264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Nelson M, Yang M, Dowle AA, Thomas JR, Brackenbury WJ. The sodium channel-blocking antiepileptic drug phenytoin inhibits breast tumour growth and metastasis. Mol. Cancer. 2015;14:13. doi: 10.1186/s12943-014-0277-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Nelson M, Yang M, Millican-Slater R, Brackenbury WJ. Nav1.5 regulates breast tumor growth and metastatic dissemination in vivo. Oncotarget. 2015;6:32914–32929. doi: 10.18632/oncotarget.5441. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Gradek F, et al. Sodium channel Nav1.5 controls epithelial-to-mesenchymal transition and invasiveness in breast cancer cells through its regulation by the salt-inducible kinase-1. Sci. Rep. 2019;9:18652. doi: 10.1038/s41598-019-55197-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Gillet L, et al. Voltage-gated Sodium Channel Activity Promotes Cysteine Cathepsin-dependent Invasiveness and Colony Growth of Human Cancer Cells. J. Biol. Chem. 2009;284:8680–8691. doi: 10.1074/jbc.M806891200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Brackenbury WJ. Voltage-gated sodium channels and metastatic disease. Channels (Austin) 2012;6:325–361. doi: 10.4161/chan.21910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Roger S, et al. Voltage-gated sodium channels potentiate the invasive capacities of human non-small-cell lung cancer cell lines. Int. J. Biochem. Cell Biol. 2007;39:774–786. doi: 10.1016/j.biocel.2006.12.007. [DOI] [PubMed] [Google Scholar]
  • 47.Hernandez-Plata E, et al. Overexpression of NaV 1.6 channels is associated with the invasion capacity of human cervical cancer. Int. J. Cancer. 2012;130:2013–2023. doi: 10.1002/ijc.26210. [DOI] [PubMed] [Google Scholar]
  • 48.Diaz D, et al. Functional expression of voltage-gated sodium channels in primary cultures of human cervical cancer. J. Cell. Physiol. 2007;210:469–478. doi: 10.1002/jcp.20871. [DOI] [PubMed] [Google Scholar]
  • 49.Laniado ME, et al. Expression and functional analysis of voltage-activated Na+ channels in human prostate cancer cell lines and their contribution to invasion in vitro. Am. J. Pathol. 1997;150:1213–1221. [PMC free article] [PubMed] [Google Scholar]
  • 50.Lopez-Charcas O, et al. The invasiveness of human cervical cancer associated to the function of NaV1.6 channels is mediated by MMP-2 activity. Sci. Rep. 2018;8:12995. doi: 10.1038/s41598-018-31364-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Roger S, Potier M, Vandier C, Besson P, Le Guennec JY. Voltage-gated sodium channels: new targets in cancer therapy? Curr. Pharm. Des. 2006;12:3681–3695. doi: 10.2174/138161206778522047. [DOI] [PubMed] [Google Scholar]
  • 52.Besson P, et al. How do voltage-gated sodium channels enhance migration and invasiveness in cancer cells? Biochim. Biophys. Acta. 1848;2493–2501:2015. doi: 10.1016/j.bbamem.2015.04.013. [DOI] [PubMed] [Google Scholar]
  • 53.Yang M, et al. Therapeutic potential for phenytoin: targeting Na(v)1.5 sodium channels to reduce migration and invasion in metastatic breast cancer. Breast Cancer Res. Treat. 2012;134:603–615. doi: 10.1007/s10549-012-2102-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Fraser SP, et al. Voltage-gated sodium channel expression and potentiation of human breast cancer metastasis. Clin. Cancer Res. 2005;11:5381–5389. doi: 10.1158/1078-0432.CCR-05-0327. [DOI] [PubMed] [Google Scholar]
  • 55.Roger S, Besson P, Le Guennec JY. Involvement of a novel fast inward sodium current in the invasion capacity of a breast cancer cell line. Biochim. Biophys. Acta. 2003;1616:107–111. doi: 10.1016/j.bbamem.2003.07.001. [DOI] [PubMed] [Google Scholar]
  • 56.Dutta S, et al. Discovery and evaluation of nNav1.5 sodium channel blockers with potent cell invasion inhibitory activity in breast cancer cells. Bioorgan. Med. Chem. 2018;26:2428–2436. doi: 10.1016/j.bmc.2018.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Bugan I, et al. Anti-metastatic effect of ranolazine in an in vivo rat model of prostate cancer, and expression of voltage-gated sodium channel protein in human prostate. Prostate Cancer Prostatic Dis. 2019 doi: 10.1038/s41391-019-0128-3. [DOI] [PubMed] [Google Scholar]
  • 58.Roger S, Guennec JY, Besson P. Particular sensitivity to calcium channel blockers of the fast inward voltage-dependent sodium current involved in the invasive properties of a metastastic breast cancer cell line. Br. J. Pharmacol. 2004;141:610–615. doi: 10.1038/sj.bjp.0705649. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Jansen S, Gosens R, Wieland T, Schmidt M. Paving the Rho in cancer metastasis: Rho GTPases and beyond. Pharmacol. Ther. 2018;183:1–21. doi: 10.1016/j.pharmthera.2017.09.002. [DOI] [PubMed] [Google Scholar]
  • 60.Dulong C, et al. The small GTPase RhoA regulates the expression and function of the sodium channel Nav1.5 in breast cancer cells. Int. J. Oncol. 2014;44:539–547. doi: 10.3892/ijo.2013.2214. [DOI] [PubMed] [Google Scholar]
  • 61.Vishnubhotla R, et al. ROCK-II mediates colon cancer invasion via regulation of MMP-2 and MMP-13 at the site of invadopodia as revealed by multiphoton imaging. Lab. Invest. 2007;87:1149–1158. doi: 10.1038/labinvest.3700674. [DOI] [PubMed] [Google Scholar]
  • 62.Libanje F, et al. ROCK2 inhibition triggers the collective invasion of colorectal adenocarcinomas. EMBO J. 2019;38:e99299. doi: 10.15252/embj.201899299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Kita T, et al. Role of TGF-beta in proliferative vitreoretinal diseases and ROCK as a therapeutic target. Proc. Natl. Acad. Sci. USA. 2008;105:17504–17509. doi: 10.1073/pnas.0804054105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Bon E, et al. SCN4B acts as a metastasis-suppressor gene preventing hyperactivation of cell migration in breast cancer. Nat. Commun. 2016;7:13648. doi: 10.1038/ncomms13648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

Requests for data our materials should be addressed to S.R. (sebastien.roger@univ-tours.fr).


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